Description
Machine learning based detection models can strengthen detection, but there remain some significant barriers to the widespread deployment of such techniques in operational detection systems. In this presentation, we identify the main challenges to overcome and we provide both methodological guidance and practical solutions to address them. The solutions we present are completely generic to be beneficial to any detection problem on any data type and are freely available in SecuML.The content of the presentation is mostly based on my PhD thesis “Expert-in-the-Loop Supervised Learning for Computer Security Detection Systems”.
Infos pratiques
Prochains exposés
-
Should I trust or should I go? A deep dive into the (not so reliable) web PKI trust model
Orateur : Romain Laborde - University of Toulouse
The padlock shown in the URL bar of our favorite web browser indicates that we are connected using a secure HTTPS connection and providing some sense of security. Unfortunately, the reality is slightly more complex. The trust model of the underlying Web PKI is invalid, making TLS a colossus with feet of clay. In this talk, we will dive into the trust model of the web PKI ecosystem to understand[…]-
SoSysec
-
Protocols
-
Network
-